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Page 1: SAP BW/4HANA – An Introductioncore data warehouse solution ... SAP BW/4HANA SAP S/4HANA Advanced DataStore Object InfoObject Source Table(s) Geospatial Hierarchies Attributes Multilanguage

PUBLIC

EDW Product Management

November, 2017

SAP BW/4HANA – An Introduction

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2PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

1. What is a Data Warehouse?

2. Decisions to make: What approach is right for you?

3. SAP HANA Data Warehouse – Strategy & Vision

4. Enterprise Data Warehousing with SAP BW/4HANA

5. Summary

Agenda

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What is a Data Warehouse?

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4PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Different analytical needs and the consequences in IT architectures

➢ High variety of information sources

➢ Extensive information needs

Complex architecture landscapes including different kind

of Data Marts, Data Warehouses and EDWs

Typical Data Warehouse / EDW Architectures

Transactional |

System of Record

Transactional | Analytical |

Systems of Record & EngagementEvent | Machine

All sourcesArchived

Information Social

Source of

information

Direct / Database

ReplicationFederated

Queries / ETL

ETL / ELT/

Replication

ETL / ELT /

ReplicationStreams / Feeds ETL / ELT/ Replication

Federation of Data & Query

Operational

Data Mart

Near-line

Data Marts

(Audit / SOX)

Agile

Data Marts

Data

Warehouse/

EDW

Real Time

Data Mart

Predictive

Data Marts

Big Data

Data MartsArchitecture

Access method to

source data

VisibilityAd-Hoc | Self-

Service BI

Consolidated

viewReal Time

Sentiment

AnalysisInformation needs

Predictive

Analysis

Archive

Analysis

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Unlock The Power of Your Data Across The EnterpriseEnterprise Data Warehousing – the single point of truth

Enterprise Data Warehousing – why?

• Consolidate data across the enterprise to get a consistent and agreed view

• Combine SAP and other sources

• Standardized data models on corporate information

• Support decision making on all organizational levels

EDWs require a Database plus an EDW application

EDW with SAP BW/4HANA – a flexible and scalable EDW application

• Highly integrated tools for modeling, monitoring and managing the EDW

• Open for SAP and non-SAP systems

• Agile data modeling using BW/4HANA workspaces

• Runs optimized on top of HANA

• Easy consumption of HANA Data Mart scenarios via virtualized data access

EDW with custom built application

• High development and maintenance efforts

• Variety of tools lacking integration

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Decisions to make:

What approach is right for you?

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7PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

Decisions to make What approach is right for you?

There are different approaches how to implement an analytical data foundation.

Pre-Built (Enterprise)Data Warehouse

• Integrated (E)DW application

• Model-driven pre-packaged (E)Data Warehouse management and orchestration

application as a central component

• Out of the box tool set for modeling, managing, operating, and governing an EDW

including various data marts

Custom Built (E)Data Warehouse

• Loosely coupled orchestration tools

• Higher efforts for development and maintenance

• High flexibility to build custom data models and processes with little enforced

governance

• Open environment to easily import industry models

Custom built data marts without (E)DW integration layer

• Maximum flexibility for custom data marts specifically built for isolated use cases

• Easy to build and fast realization time

• Low level of integration among different data marts

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Application driven approach, SAP BW/4 HANA as

premium DW application with integrated services

• SAP BW/4HANA is an application offering. All data

warehousing services via one integrated repository

• Optional integration of additional tools for modelling,

monitoring and managing the data warehouse

SQL driven approach, SAP HANA with loosely coupled

tools and platform services, logically combined

• SQL approaches require several loosely coupled tools, usually

having separate repositories

• “Best of breed” approach to build your own model

How does SAP approach Data Warehousing Two ways to run, or get the best of both

SAP HANA Platform

SCHEDULING &

MONITORINGMODELING PLANNING

OLAPLIFECYCLE

MANAGEMENTETL

SAP BW/4HANA

SAP HANA Platform

SCHEDULING &

MONITORINGMODELING PLANNING

OLAPLIFECYCLE

MANAGEMENTETL

HANA SQL DW

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SAP HANA Data Warehouse

Strategy & Vision

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10PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP HANA Data Warehouse – Strategy & Vision

Execution and delivery

2016 - 2018Vision

Planning and definition

2016

Market presence in data warehousing

with a clear roadmap

Strong and simplified

offering with tight integration

Convergence into one technology stack

addressing BW and SQL-based DW

needs

SAP HANA Platform

SAP DW

Foundation

SAP Power

Designer

SAP HANA

EIM

SAP

BW/4HANASAP DWH

Foundation

SAP Power

Designer

SAP HANA

EIM

SAP

BW/4HANA

SAP HANA Platform SAP HANA Platform

DW ETL & DMDW Modeling

Analytics

(Business Intelligence, Predictive, Planning)

Analytics

(Business Intelligence, Predictive, Planning)

Analytics

(Business Intelligence, Predictive, Planning)

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11PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP HANA Data Warehouse Future-Proof Data Management Platform

Meet future demands

• LDW for dynamically

changing system

landscapes

• Cloud and hybrid

deployment

• Integration of any data

types and Big Data

technologies

• Scale out to high

volumes and data lakes

Go beyond other DW offerings

• Top out-of-the-box

integration to SAP solutions

– on-premise and in cloud

environments

• Real-time processing power

of HANA

• Hadoop integration with SAP

HANA Vora

• HANA-optimized re-usable

business content

–Serve standard SQL-based and BW-style data warehousing in order to …

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Establish a BIG Data Warehouse

• Build a modern, open and hybrid DWH offering

for any data

• SAP BW/4HANA as modern and simplified

core data warehouse solution

• Implement and execute high volume

transformations on Big Data Clusters Data

Lake

• Leverage Big Data landscapes for data

onboarding and ingestion for various types of

data and files

• Data Hub as orchestration and refinery

application to address end to end processes

Big Data

(Data Lake, Data Swamp)

High Volume Transformations

SAP BW/4HANA

Data Management

Pro

ce

ss

M

an

ag

em

en

t

OLAP

Data Modeling

SAP DATAHUB

Data Ingestion & Onboarding

ORCHESTRATION COCKPITPIPELINES

DBsERP, CRM…

Massive Data Store

O N - P R EMISE | C L O U D | H YB R I D

SAP Data Hub & SAP BW/4HANA

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Enterprise Data Warehousing with

SAP BW/4HANA

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Enterprise Data Warehousing with SAP BW/4HANA

LIFECYCLE MANAGEMENT

• Meta Data Management & Data Governance built in

• Propagation of Meta Data changes (DEV QA PRD)

• Data Tiering Optimization with unified concept covering hot, warm and cold data

SECURITY & TRACEABILITY

• Fine-grained security model with mass handling

capabilities

• Auditing & Access statistics including identity handling

• Possibility to trace on application logic,

database access and effect of authorizations

DATA MODELING

• Fully integrated modeling environment

• Store once & virtualize wherever possible

• Mix BW and SQL based data models

• Predefined modeling objects for transaction & master data

(database abstraction)

• Integrated engines for OLAP & planning functions

BUSINESS CONTENT

• Pre-defined integrated Data Models and Applications

• Enables fast implementation on proven business

applications and industries knowledge

• Rich extractor content for SAP data out-of-the box

RELIABLE DATA ACQUISITION

• Batch, Real-time & Remote Data Acquisition

• Delta capabilities & Sophisticated Error Handling

• Standard (mapping, formula, lookup, conversion) &

custom transformations

• Open adapter framework to connect any system

(databases, OpenSource, Social Media, IOT, etc.)

SCHEDULING & MONITORING

• Rich scheduling & monitoring capabilities on all levels

• Process Chains enable workload management for data

load processes across systems

• Management of data consistency

(insert/update/delete and roll-back/reload)

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• Modeling based on predefined semantics and modeling patterns

(master data, DataStores) as well as database fields

• Database abstraction using an fully integrated modeling

environment

• Store data once & virtualize wherever possible

• Options to use hybrid modeling of BW and SQL based data

models

• Pre-defined integrated data models and applications enables fast

implementation (Business Content)

• Data Tiering Optimization to handle data lifecycle management for

large data volumes

SAP BW/4HANA – Data Modeling

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SAP BW/4HANA – Master Data Modeling using InfoObjects

Model-driven approach

InfoObjects (Characteristics, Keyfigures) are the most granular building blocks

accompanied by a rich set of business related information for master data:

• Slowly changing dimensions support with integrated time dependency

(master data historization)

• Currency and unit conversion built in

• Inventory & non-cumulative measure support

• Complex hierarchies & Multi-language support

• Geospatial support

• Time & date hierarchies including all fiscal year features

• Support for detailed Analysis Authorizations

Alternatively field-based modeling is supported, when these features are not

needed.

SAP BW/4HANA

SAP S/4HANA

Advanced

DataStore

Object

InfoObject

Source

Table(s)

Geospatial Hierarchies

AttributesMultilanguage

Texts

re-use in other

BW objects

enrich

+

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Simplified Data Flows

• High speed Analytics at any layer

• Flexibility through Virtual Data Marts

• Agility through virtually combining data across

layers

• Business needs and service level driven

• Combination of bottom-up and top-down

modeling approaches – for agile, flexible and

sustainable development

• Field or InfoObject based Modelling

SAP BW/4HANA – Layered Scalable Architecture (LSA++)

SAP BW/4HANA (LSA++)

Mandatory

Layer

top

do

wn

Mo

de

llin

g

bo

tto

m u

p M

od

elli

ng

Virtualization, Virtual Data Marts

Architected

Data Mart

Source

Staging Layer/

Corporate Memory

Open ODS Layer/

Raw DWH

Propagation Layer/

Integrated DWH Optional layers

depending on

business needs

and required

service level

Service Level

An architecture can only become lean if a great deal of

transformations and solution modeling are done

virtually and dynamically across the DWH and beyond.

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SAP BW/4HANA – virtualized and persistent Data Modeling

Model-driven approach

• Fully integrated modeling environment incl. planning functions (with BPC add-on)

• Predefined modeling patterns for transaction & master data optimized for SAP HANA

• Store once & virtualize wherever possible

Persistent Objects

• DataStore object (advanced) – the central object for data storage and data consolidation

• InfoObject – for master data characteristics and key figures with units/currencies

Virtual Objects

• CompositeProvider – to combine data from BW/4HANA and SAP HANA via Join or Union

• Open ODS View – to consume external (and internal) data flexibly without staging

Field based modeling

• Complements InfoObject modeling

• Integrated with existing BW/4HANA Objects/Models and BW/4HANA authorizations

• Direct staging from any source possible, even mass-data loads

SAP HANA

SAP BW/4HANA

HANA

Remote Source

Table/View

Smart Data Access

Smart Data Integration

Advanced DSO

HANA DataSource

DIRECT

ACCESS

OpenODS View

Virtual

CompositeProvider

Virtual

REAL TIME

Streaming

Table/View

REPLICATION

UPSERT

Table

INSERT

Table

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SAP HANA

SAP BW/4HANA

RE

PO

SIT

OR

Y

DATA WAREHOUSING

DATA ACQUISITION

ANALYTIC ENGINE

BW Query

Use the best of both worlds

• Reuse both BW and SQL skills

• Seamless data model integration

• Use your data at the frequency they are

generated: batch, real-time, stream or remote

• Store data once – use multiple times

• Consume via native HANA SQL or BW query

by any tool

• Add predictive, spatial and other HANA

platform features

SAP BW/4HANA – Mixed Data Model Integration

Sources

BI / Analytics / Predictive Clients

BATCH | REAL-TIME | STREAM | REMOTE

WO

RK

SP

AC

ES

View

View

ADSO View

View

Table

Table Table

DataSource

Schema xy

CompositeProvider

Open ODS View

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SAP BW/4HANA – OLAP & Planning Functions

Analytic Manager

• Analytic Manager is the built-in OLAP engine of BW

• The majority of analytical functions in BW/4HANA are pushed down to HANA

and executed directly in the database

• Supports business processes like slow-moving items or elimination of internal

business volume

• Rich set of analytical capabilities like

Hierarchy handling,

Currency and unit conversions

Exception aggregation & conditions

Restricted and calculated key figures

Inventory handling for non-cumulative key figures

Planning Capabilities

• Provide rich set of in-memory optimized planning capabilities using the

SAP Business Planning and Consolidation, version for SAP BW/4HANA:

Aggregation, Disaggregation, Conversions, Revaluation

Copy, Delete, Set value, Repost, FOX-Formulas

• Supports embedded and standard models

SAP BW/4HANA

Analytic Manager

Planning Functions

SAP HANA

OLAP

Engine

Planning

Engine

CODE PUSH DOWN

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SAP BW/4HANA Modeling

SAP BW/4HANA – OLAP & Planning FunctionsExample: OLAP Functionalities

Complex aggregations have to be defined in

SQL statements or in an additional BI tool

Build reports with a variety of rich

OLAP functions on an object model level

Reporting elements SELECT Country, Product, Customer, SUM(Quantity), 1

FROM SalesData

GROUP BY Country, Product, Customer

HAVING SUM(Quantity) > 50000

SAP BW/4HANA Native SQL Database

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SAP BW/4HANA – Business ContentBusiness Oriented Modeling

Rich Business Content

• Enables fast and cost-effective implementation

• Based on proven business applications and

industries knowledge

• Pre-defined integrated Data Models and

Applications

• Rich extractor content for SAP data out-of-the

box

• Supporting layered scalable architecture (LSA++)

• Provides higher level of details (line items, …)

• Mixed modeling implemented with SAP HANA

and SAP BW/4HANA content where applicable

• [LINK] to latest Business Content

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• Batch and Real-time Data Acquisition

• Virtual/Remote Data Access support

• Delta capabilities & Sophisticated Error Handling

• Built-in data transformation and data quality functions with

standard (mapping, formula, lookup, conversion) &

custom transformations

• Open adapter framework to connect any system

(databases, OpenSource, Social Media, IOT, etc.)

• Out-of-the-box data integration for a variety of external sources

• Optimal integration with SAP Systems (extractor content)

SAP BW/4HANA – Reliable Data Acquisition

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SAP BW/4HANA – Simplified Data Integration

SAP BW/4HANA simplifies

data integration, offering

comprehensive access to

external systems

▪ Replicate data in real-time (HANA

SDI based replication or via ODP –

especially with ODP-SLT)

▪ Access data virtually

▪ Load data using optimized

processing

DATA

LOAD

SAP HANA

HANA Source

System

Extractors

ODQ

DIRECT

ACCESS

REAL-TIME

REPLICATION

RDBMS

/HadoopText

StructuredSocial Media

EmailSLT

ABAP

CDS

BW Business

ByDesign

SAP BW/4HANA

ODP Source SystemBig Data Source

SystemFile Source System

SAP EIM

Non-SAP Data SAP Data

File

Big Data File

HIVE SPARK VORA

Hadoop

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SAP BW/4HANA Modeling

Each entity with key ‘measures’ will need

to define a ‘delta’ table

– Delta handling process needs to be

implemented manually in ETL code / tool, for

example, based on timestamp or using table

compare statements

Automated delta management handling

during data flow

contract_id Date Value

1 28/08/2012 100

contract_id Date Value

1 28/08/2012 100

1 29/08/2012 1000

contract_id Date Value

1 28/08/2012 100

1 28/08/2012 -100

1 29/08/2012 1000

1 29/08/2012 1000

Alternative 1

Alternative 2

Delta

calculation

SAP BW/4HANA – Delta Management

Contracts_delta

Contracts

SAP BW/4HANA Native SQL Database

SELECT * FROM …

WHERE timestamp >= ‘20141224’

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SAP BW/4HANA – Lifecycle management

Lifecycle management of Metadata

• Object-Versioning and modification tracking

• Append Concept

• Consistent Patching & Upgrades across landscape

• Deployment using proven SAP transport mechanism across

multi-tier landscapes (e.g. DEV QA PRD)

• Consistent Remodeling

Lifecycle management of Data Persistence

• Data Tiering Optimization with unified concept covering

HOT, WARM and COLD data

HOT WARM

COLDCOLD

ADSO

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This tier is used to store mission critical data for real-time processing and real-time

analytics.

Data is retained “In-Memory”.

This tier is used to store data with reduced performance SLAs, which is less

frequently accessed.

Data is stored on dedicated SAP HANA Scale Out Nodes (Extension Nodes) with

a relaxed sizing ratio.

This tier is used to store voluminous data for sporadic or very limited access.

Data is stored on disk, in columnar structures on SAP IQ or in Hadoop HDFS.

One concept for hot, warm and cold data based on Advanced DataStore Object Partitions

SAP HANA

In-Memory Store

Data Tiering with

Scale-Out

Data Tiering with

External Storage

SAP BW/4HANA – Data Tiering Optimization (DTO)

Hot

Store

Warm

Store

Cold

Store

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• Integrated data processing and error monitoring/handling across

systems

• Scheduling framework for all DWH processes

• Management of data consistency

(insert/update/delete and roll-back/reload)

• Process Chains enable workload management for

data load processes

• Open-hub service for data distribution

• Integration into 3rd party scheduling tools (e.g. Redwood)

• High scalability for large implementations

• Rich monitoring capabilities on all levels

SAP BW/4HANA – Scheduling & Monitoring

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• Fine-grained security model with mass handling capabilities

Object and Hierarchy level security

Access-control at row level

Analytic Privileges grant different users access to different portions of

data in the same view based on their business role.

Can be implemented on top of mandatory object privileges to secure

access based on certain values or combination of values.

• Synchronization with other applications and IDM systems

• Support for SSO and Active Directory

• Auditing & Access statistics including identity handling

• Possibility to trace on application logic, database access and

effect of authorizations

SAP BW/4HANA – Security & Traceability

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Summary

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31PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

SAP BW/4HANA offers fully integrated data warehouse

application with

• Agile and flexible data modeling to also combine BW and

native SQL data for real-time insights.

• Predefined Content for fast implementation

• Sophisticated data acquisition with rich scheduling & monitoring

• Integrated lifecycle management for metadata

• Built-in Data Tiering Optimization for hot, warm and cold data

• Detailed security & auditing

SAP BW/4HANA is SAP‘s strategic EDW solution

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Thank you.

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Appendix

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SAP BW/4HANA vs. SAP BW – Differences

SAP HANA

SAP BW

SAP NetWeaver

1. Built on SAP NetWeaver

2. Supports classic objects and

HANA-optimized objects

3. Supports SAP HANA only

SAP BW

powered by SAP HANA

AnyDB

SAP BW

SAP NetWeaver

1. Built on SAP NetWeaver

2. Supports only classic objects

3. Supports AnyDB

SAP BW

SAP HANA

SAP BW/4HANA

AS ABAP

1. Based on lean ABAP appl. Server

(codelines of other NetWeaver

components and classic BW objects

were removed)

2. Supports only HANA-opt.objects

3. Supports SAP HANA only

SAP BW/4HANA

Removed

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Training for SAP BW4/HANA

4 Units – 2-3 hours in total

No prerequisites

Free participation & certification

For details, go to openSAP

DBW4H – Data Warehousing with SAP BW/4HANA - Delta from SAP BW powered by SAP HANA to SAP BW/4HANAClassroom or Virtual Live Classroom

German (English coming soon!)

BW462

SAP BW/4HANA

BW462 – SAP BW/4HANA

Classroom or Virtual Live Classroom

German (English coming soon!)

training@SAPtraining@SAP

5 days

Prerequisites:

Hands-on experience in data modeling with SAP BW 7.x

BW310 (SAP BW Enterprise Data Warehousing non-HANA)

For details, go to SAP Training

SAP BW/4HANA in a Nutshell

Open Online Course

English

openSAP

2 days

Prerequisites:

SAP BW 7.4 / 7.5 and SAP HANA 1.0 knowledge is necessary

DBW74, BW362, HA100 or HA100e, BW310H

For details, go to SAP Training